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Data Engineer

Circadiahealth · Los Angeles, CA · On Site · Active · $150,000–$220,000 / year · Lever

Job facts

FieldValue
CompanyCircadiahealth
TitleData Engineer
Normalized title-
Department / teamEngineering
LocationLos Angeles, CA, United States
Work modelOn Site
Employment typeFull Time
Salary$150,000–$220,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-01-23 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Circadiahealth.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Los Angeles.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCircadiahealth
Source578a444f-fcfc-41e0-baef-e571ff2cdfd4
ATS providerLever

Description

About Circadia Health Circadia Health is a growth-stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior-care operations. Our Circadia Intelligence Platform combines: Contactless sensing that monitors respiration and motion with medical-grade accuracy Predictive analytics & agentic AI workflows that detect 85% of preventable rehospitalizations ~11 days in advance Enterprise integrations that embed insights directly into EHR, care-coordination, billing, and compliance systems Today our technology touches 40,000+ post-acute patients daily across skilled-nursing, home-health, and home-care networks. We are backed by leading healthcare and AI investors including Khosla Ventures, Village Global, Headline, and Eric Yuan (CEO of Zoom). The Role As a Data Engineer at Circadia Health , you will play a critical role in building and maintaining the data infrastructure that powers Circadia’s AI-driven clinical monitoring platform. You will design and operate robust data pipelines that ingest, transform, and distribute sensitive healthcare data originating from Electronic Health Record (EHR) systems, medical devices, and hospital information systems. Reporting directly to the Lead AI Engineer, you will work closely with backend engineers, ML engineers, clinical teams, and customer integration partners to ensure reliable, secure, and compliant flow of patient data — including ADT events, conditions, medications, allergies, clinical notes, and vital signs. Your work will directly enable Circadia’s predictive analytics and machine learning models that identify early signs of clinical deterioration, helping clinicians intervene sooner and improve patient outcomes. This is a hands-on role where production-grade data engineering, reliability, and healthcare compliance are non-negotiable. What You'll Do Data Pipeline & Integration Development Design, build, and maintain scalable data pipelines to ingest healthcare data from customer EHR systems and hospital databases. Develop integrations using: REST APIs and webhook-driven workflows Database log shipping and change data capture (CDC) mechanisms, including Microsoft SQL Server–based systems Transform, validate, and normalize incoming clinical data before loading it into Circadia’s MySQL and Snowflake environments. Ensure pipelines are robust, fault-tolerant, and capable of handling large data volumes. Healthcare Data & EHR Integrations Integrate and manage healthcare data domains including: Admissions, Discharges, Transfers (ADT) Conditions, medications, allergies Clinical notes and progress notes Vital signs and physiological measurements Work with healthcare interoperability standards and protocols such as: HL7 v2 FHIR Partner with customer technical teams to support onboarding, troubleshooting, and ongoing data reliability. Data Platforms & Warehousing Take ownership of Circadia’s operational databases and analytical data warehouses. Design schemas and transformations that support both real-time application needs and downstream analytics and ML workloads. Optimize performance, cost, and scalability within Snowflake and MySQL . Cloud Deployment & Operations Deploy and operate data pipelines and services in AWS . Implement monitoring, logging, alerting, and operational dashboards for data workflows. Support production reliability, incident response, and continuous improvement of data systems. Security, Compliance & Data Quality Ensure all data pipelines meet healthcare security and privacy requirements, including HIPAA and SoC 2 . Apply best practices for handling Protected Health Information (PHI), including access control, encryption, and audit logging. Maintain clear documentation of data flows, transformations, and operational processes. Collaboration & Enablement Work closely with Data Science and ML teams to support: Model training and evaluation Feature generation and data labeling workflows Collaborate with backend engineers to develop internal tooling for data ingestion, validation, and monitoring. Participate in architecture discussions to ensure data systems scale with Circadia’s growth. Must‑Have Qualifications 5+ years of experience in Data Engineering , Backend Engineering, or a closely related role. Strong proficiency in Python for data pipeline and backend development. Strong proficiency in SQL . Hands-on experience with MySQL and Snowflake , including schema design and performance optimization. Experience integrating data from Microsoft SQL Server , including log shipping or CDC-style approaches. Experience building high-throughput data pipelines from ingestion through transformation and storage. Experience deploying and operating production systems in a major cloud provider ( AWS preferred ). Familiarity with APIs, webhooks, and event-driven architectures. Experience working with sensitive or regulated data. Nice‑to‑Haves Experience integrating with EHR systems (e.g., Epic, Homecare Homease, PointClickCare). Familiarity with healthcare data standards such as HL7 and FHIR . Experience supporting machine learning or data science teams. Experience with data orchestration, workflow management, or streaming systems. Background in healthcare, medical devices, or clinical data systems. Exposure to HIPAA compliance and healthcare security best practices.

Full job record

Job IDec158c6af368afebd7b6b96214d8350551da00c3
Org ID3a4746c1-7cde-4162-9b82-dd935e19059a
Source ID578a444f-fcfc-41e0-baef-e571ff2cdfd4
Board ID578a444f-fcfc-41e0-baef-e571ff2cdfd4
Providerlever
Provider Job Keydec7c544-5967-4b23-b7a1-f0c571baa393
TitleData Engineer
Normalized Title
Statusactive
Activeyes
Location TextLos Angeles, CA
Department
TeamEngineering
Employment TypeFull Time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CityLos Angeles
Salary RawUSD 150000-220000 per-year-salary
Salary Min150,000
Salary Max220,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/circadiahealth/dec7c544-5967-4b23-b7a1-f0c571baa393
Apply URLhttps://jobs.lever.co/circadiahealth/dec7c544-5967-4b23-b7a1-f0c571baa393/apply
First Seen At2026-05-29 07:00:16Z
Last Seen At2026-06-06 20:21:38Z
Last Checked At2026-06-06 20:21:38Z
Last Changed At2026-05-29 07:00:16Z
Inactive At
Source Posted At2026-01-23 05:04:41Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=circadiahealth/date=2026-06-06/2026-06-06T20-21-36-838Z-d6d294e9fe74581a23c9519e7cb77b9811fd6014b427a6cbd891029b2f31fb58.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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      "text": "The Role",
      "content": "<div>\n<div>As&nbsp;a&nbsp;<strong>Data&nbsp;Engineer&nbsp;at&nbsp;Circadia&nbsp;Health</strong>,&nbsp;you&nbsp;will&nbsp;play&nbsp;a&nbsp;critical&nbsp;role&nbsp;in&nbsp;building&nbsp;and&nbsp;maintaining&nbsp;the&nbsp;data&nbsp;infrastructure&nbsp;that&nbsp;powers&nbsp;Circadia’s&nbsp;AI-driven&nbsp;clinical&nbsp;monitoring&nbsp;platform.&nbsp;You&nbsp;will&nbsp;design&nbsp;and&nbsp;operate&nbsp;robust&nbsp;data&nbsp;pipelines&nbsp;that&nbsp;ingest,&nbsp;transform,&nbsp;and&nbsp;distribute&nbsp;sensitive&nbsp;healthcare&nbsp;data&nbsp;originating&nbsp;from&nbsp;Electronic&nbsp;Health&nbsp;Record&nbsp;(EHR)&nbsp;systems,&nbsp;medical&nbsp;devices,&nbsp;and&nbsp;hospital&nbsp;information&nbsp;systems.</div>\n<div>Reporting&nbsp;directly&nbsp;to&nbsp;the&nbsp;Lead&nbsp;AI&nbsp;Engineer,&nbsp;you&nbsp;will&nbsp;work&nbsp;closely&nbsp;with&nbsp;backend&nbsp;engineers,&nbsp;ML&nbsp;engineers,&nbsp;clinical&nbsp;teams,&nbsp;and&nbsp;customer&nbsp;integration&nbsp;partners&nbsp;to&nbsp;ensure&nbsp;reliable,&nbsp;secure,&nbsp;and&nbsp;compliant&nbsp;flow&nbsp;of&nbsp;patient&nbsp;data&nbsp;—&nbsp;including&nbsp;ADT&nbsp;events,&nbsp;conditions,&nbsp;medications,&nbsp;allergies,&nbsp;clinical&nbsp;notes,&nbsp;and&nbsp;vital&nbsp;signs.</div>\n<div>Your work will directly enable Circadia’s predictive analytics and machine learning models that identify early signs of clinical deterioration, helping clinicians intervene sooner and improve patient outcomes. This is a hands-on role where production-grade data engineering, reliability, and healthcare compliance are non-negotiable.</div>\n</div>"
    },
    {
      "text": "What You'll Do",
      "content": "<div>Data Pipeline &amp; Integration Development</div>\n<div>\n\n<li>Design,&nbsp;build,&nbsp;and&nbsp;maintain&nbsp;scalable&nbsp;data&nbsp;pipelines&nbsp;to&nbsp;ingest&nbsp;healthcare&nbsp;data&nbsp;from&nbsp;customer&nbsp;EHR&nbsp;systems&nbsp;and&nbsp;hospital&nbsp;databases.</li>\n<li>Develop&nbsp;integrations&nbsp;using:</li>\n<li>REST&nbsp;APIs&nbsp;and&nbsp;webhook-driven&nbsp;workflows</li>\n<li>Database&nbsp;log&nbsp;shipping&nbsp;and&nbsp;change&nbsp;data&nbsp;capture&nbsp;(CDC)&nbsp;mechanisms,&nbsp;including&nbsp;<strong>Microsoft&nbsp;SQL&nbsp;Server–based&nbsp;systems</strong></li>\n<li>Transform,&nbsp;validate,&nbsp;and&nbsp;normalize&nbsp;incoming&nbsp;clinical&nbsp;data&nbsp;before&nbsp;loading&nbsp;it&nbsp;into&nbsp;Circadia’s&nbsp;<strong>MySQL</strong>&nbsp;and&nbsp;<strong>Snowflake</strong>&nbsp;environments.</li>\n<li>Ensure&nbsp;pipelines&nbsp;are&nbsp;robust,&nbsp;fault-tolerant,&nbsp;and&nbsp;capable&nbsp;of&nbsp;handling&nbsp;large&nbsp;data&nbsp;volumes.</li>\n\n<div>Healthcare Data &amp; EHR Integrations</div>\n<div>\n\n<li>Integrate&nbsp;and&nbsp;manage&nbsp;healthcare&nbsp;data&nbsp;domains&nbsp;including:</li>\n<li>Admissions,&nbsp;Discharges,&nbsp;Transfers&nbsp;(ADT)</li>\n<li>Conditions,&nbsp;medications,&nbsp;allergies</li>\n<li>Clinical&nbsp;notes&nbsp;and&nbsp;progress&nbsp;notes</li>\n<li>Vital&nbsp;signs&nbsp;and&nbsp;physiological&nbsp;measurements</li>\n<li>Work&nbsp;with&nbsp;healthcare&nbsp;interoperability&nbsp;standards&nbsp;and&nbsp;protocols&nbsp;such&nbsp;as:</li>\n<li><strong>HL7&nbsp;v2</strong></li>\n<li><strong>FHIR</strong></li>\n<li>Partner&nbsp;with&nbsp;customer&nbsp;technical&nbsp;teams&nbsp;to&nbsp;support&nbsp;onboarding,&nbsp;troubleshooting,&nbsp;and&nbsp;ongoing&nbsp;data&nbsp;reliability.</li>\n\n<div>Data Platforms &amp; Warehousing</div>\n<div>\n\n<li>Take&nbsp;ownership&nbsp;of&nbsp;Circadia’s&nbsp;operational&nbsp;databases&nbsp;and&nbsp;analytical&nbsp;data&nbsp;warehouses.</li>\n<li>Design&nbsp;schemas&nbsp;and&nbsp;transformations&nbsp;that&nbsp;support&nbsp;both&nbsp;real-time&nbsp;application&nbsp;needs&nbsp;and&nbsp;downstream&nbsp;analytics&nbsp;and&nbsp;ML&nbsp;workloads.</li>\n<li>Optimize&nbsp;performance,&nbsp;cost,&nbsp;and&nbsp;scalability&nbsp;within&nbsp;<strong>Snowflake</strong>&nbsp;and&nbsp;<strong>MySQL</strong>.</li>\n\n<div>Cloud Deployment &amp; Operations</div>\n<div>\n\n<li>Deploy&nbsp;and&nbsp;operate&nbsp;data&nbsp;pipelines&nbsp;and&nbsp;services&nbsp;in&nbsp;<strong>AWS</strong>.</li>\n<li>Implement&nbsp;monitoring,&nbsp;logging,&nbsp;alerting,&nbsp;and&nbsp;operational&nbsp;dashboards&nbsp;for&nbsp;data&nbsp;workflows.</li>\n<li>Support&nbsp;production&nbsp;reliability,&nbsp;incident&nbsp;response,&nbsp;and&nbsp;continuous&nbsp;improvement&nbsp;of&nbsp;data&nbsp;systems.</li>\n\n<div>Security, Compliance &amp; Data Quality</div>\n<div>\n\n<li>Ensure&nbsp;all&nbsp;data&nbsp;pipelines&nbsp;meet&nbsp;healthcare&nbsp;security&nbsp;and&nbsp;privacy&nbsp;requirements,&nbsp;including&nbsp;<strong>HIPAA</strong>&nbsp;and&nbsp;<strong>SoC&nbsp;2</strong>.</li>\n<li>Apply&nbsp;best&nbsp;practices&nbsp;for&nbsp;handling&nbsp;Protected&nbsp;Health&nbsp;Information&nbsp;(PHI),&nbsp;including&nbsp;access&nbsp;control,&nbsp;encryption,&nbsp;and&nbsp;audit&nbsp;logging.</li>\n<li>Maintain&nbsp;clear&nbsp;documentation&nbsp;of&nbsp;data&nbsp;flows,&nbsp;transformations,&nbsp;and&nbsp;operational&nbsp;processes.</li>\n\n<div>Collaboration &amp; Enablement</div>\n<div>\n\n<li>Work&nbsp;closely&nbsp;with&nbsp;Data&nbsp;Science&nbsp;and&nbsp;ML&nbsp;teams&nbsp;to&nbsp;support:</li>\n<li>Model&nbsp;training&nbsp;and&nbsp;evaluation</li>\n<li>Feature&nbsp;generation&nbsp;and&nbsp;data&nbsp;labeling&nbsp;workflows</li>\n<li>Collaborate with backend engineers to develop internal tooling for data ingestion, validation, and monitoring.</li>\n<li>Participate&nbsp;in&nbsp;architecture&nbsp;discussions&nbsp;to&nbsp;ensure&nbsp;data&nbsp;systems&nbsp;scale&nbsp;with&nbsp;Circadia’s&nbsp;growth.</li>\n\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>"
    },
    {
      "text": "Must‑Have Qualifications",
      "content": "\n<li>5+&nbsp;years&nbsp;of&nbsp;experience&nbsp;in&nbsp;<strong>Data&nbsp;Engineering</strong>,&nbsp;Backend&nbsp;Engineering,&nbsp;or&nbsp;a&nbsp;closely&nbsp;related&nbsp;role.</li>\n<li>Strong&nbsp;proficiency&nbsp;in&nbsp;<strong>Python</strong>&nbsp;for&nbsp;data&nbsp;pipeline&nbsp;and&nbsp;backend&nbsp;development.</li>\n<li>Strong&nbsp;proficiency&nbsp;in&nbsp;<strong>SQL</strong>.</li>\n<li>Hands-on&nbsp;experience&nbsp;with&nbsp;<strong>MySQL</strong>&nbsp;and&nbsp;<strong>Snowflake</strong>,&nbsp;including&nbsp;schema&nbsp;design&nbsp;and&nbsp;performance&nbsp;optimization.</li>\n<li>Experience&nbsp;integrating&nbsp;data&nbsp;from&nbsp;<strong>Microsoft&nbsp;SQL&nbsp;Server</strong>,&nbsp;including&nbsp;log&nbsp;shipping&nbsp;or&nbsp;CDC-style&nbsp;approaches.</li>\n<li>Experience&nbsp;building&nbsp;high-throughput&nbsp;data&nbsp;pipelines&nbsp;from&nbsp;ingestion&nbsp;through&nbsp;transformation&nbsp;and&nbsp;storage.</li>\n<li>Experience&nbsp;deploying&nbsp;and&nbsp;operating&nbsp;production&nbsp;systems&nbsp;in&nbsp;a&nbsp;major&nbsp;cloud&nbsp;provider&nbsp;(<strong>AWS&nbsp;preferred</strong>).</li>\n<li>Familiarity&nbsp;with&nbsp;APIs,&nbsp;webhooks,&nbsp;and&nbsp;event-driven&nbsp;architectures.</li>\n<li>Experience&nbsp;working&nbsp;with&nbsp;sensitive&nbsp;or&nbsp;regulated&nbsp;data.</li>\n"
    },
    {
      "text": "Nice‑to‑Haves",
      "content": "\n<li>Experience&nbsp;integrating&nbsp;with&nbsp;EHR&nbsp;systems&nbsp;(e.g.,&nbsp;Epic,&nbsp;Homecare&nbsp;Homease,&nbsp;PointClickCare).</li>\n<li>Familiarity&nbsp;with&nbsp;healthcare&nbsp;data&nbsp;standards&nbsp;such&nbsp;as&nbsp;<strong>HL7</strong>&nbsp;and&nbsp;<strong>FHIR</strong>.</li>\n<li>Experience&nbsp;supporting&nbsp;machine&nbsp;learning&nbsp;or&nbsp;data&nbsp;science&nbsp;teams.</li>\n<li>Experience&nbsp;with&nbsp;data&nbsp;orchestration,&nbsp;workflow&nbsp;management,&nbsp;or&nbsp;streaming&nbsp;systems.</li>\n<li>Background&nbsp;in&nbsp;healthcare,&nbsp;medical&nbsp;devices,&nbsp;or&nbsp;clinical&nbsp;data&nbsp;systems.</li>\n<li>Exposure&nbsp;to&nbsp;HIPAA&nbsp;compliance&nbsp;and&nbsp;healthcare&nbsp;security&nbsp;best&nbsp;practices.</li>\n"
    }
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